Analyzing Multi-Class Persistent Organic Pollutants (OCPs, PCBs, PBDEs, and PAHs) in Food Matrices in a Single Injection by APGC-MS/MS

Applications | 2014 | WatersInstrumentation
GC/MSD, GC/MS/MS, GC/QQQ, GC/API/MS, LC/MS, LC/MS/MS, LC/QQQ
Industries
Food & Agriculture
Manufacturer
Agilent Technologies, Waters

Significance of the Topic


Persistent organic pollutants (POPs) such as organochlorine pesticides, PCBs, PBDEs and PAHs resist environmental breakdown and accumulate in food, posing health risks. Reliable monitoring at trace levels is crucial to enforce regulations and safeguard public health.

Objectives and Study Overview


This study aimed to develop and validate a single-injection method using atmospheric pressure gas chromatography coupled to tandem mass spectrometry (APGC-MS/MS) to quantify 141 multi-class POPs in various food matrices, including milk, infant formula, meats and fish, using a generic sample preparation.

Methodology and Instrumental Setup


Sample Preparation
  • Homogenized samples (10-12 g) spiked with isotopically labeled standards were extracted with ethyl acetate after rehydration and QuEChERS salts (MgSO4, NaCl).
  • Extracts underwent gel permeation chromatography (GPC) cleanup with dichloromethane, followed by silica gel column cleanup and concentration.

Instrumental Conditions
  • GC system: Agilent 7890A with splitless injection at 300 °C on a DB-5 column.
  • Ionization: Atmospheric pressure gas chromatography (APGC) with corona discharge source enabling charge and proton transfer.
  • MS detection: Waters Xevo TQ-S operating in positive mode, multiple reaction monitoring (MRM) with MassLynx and TargetLynx software.

Main Results and Discussion


The method achieved excellent recovery (66–122%) and repeatability (%RSD <20%) across six matrices at fortification levels down to parts-per-trillion. Limits of detection were below 1 µg/kg for all analytes. The softer APGC ionization provided abundant molecular ions, improving sensitivity (e.g., signal-to-noise ratios for BDE-17 and BDE-28 increased over threefold compared to conventional EI). Calibration curves exhibited linearity (R² >0.99) over 2–25 µg/kg.

Benefits and Practical Applications


  • Simultaneous quantification of four POP classes in a single run reduces analysis time and cost.
  • Generic sample preparation simplifies workflow for diverse food matrices.
  • Enhanced sensitivity and selectivity allow reliable trace-level monitoring.
  • Method accredited under ISO 17025, supporting regulatory compliance.

Future Trends and Potential Applications


Emerging opportunities include extending APGC-MS/MS to environmental and biological samples, incorporating automated sample cleanup, and adapting the approach for novel or less studied POPs. Continued refinement of soft ionization techniques will further improve molecular ion detection and reduce fragmentation.

Conclusion


This validated APGC-MS/MS method offers a robust, sensitive, and efficient approach for multi-class POP analysis in food, meeting regulatory demands and improving laboratory throughput.

References


1. van den Berg M et al. The 2005 WHO re-evaluation of toxic equivalency factors for dioxins and dioxin-like compounds. Toxicol Sci. 2006;93(2):223-41.
2. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Vol 1-42. WHO/IARC;1979.
3. Vanden Bilcke C. The Stockholm Convention on Persistent Organic Pollutants. Eur Environ Law Rev. 2002;11:123-45.
4. Food and Drugs Act (RSC 1985, c. F-27). Justice Laws Website. 2014.
5. Manuel suisse des données alimentaires. Guide pour la validation des méthodes. 2004.
6. CITAC/EURACHEM. Guide for Quality in Analytical Chemistry. 2002.
7. EURACHEM. The fitness for purpose of analytical methods. 1998.
8. AFNOR. Protocole d’évaluation d’une méthode alternative d’analyse. V03B. 1993.
9. AOAC/FAO/IAEA and IUPAC. Guidelines for single-lab validation of analytical methods. 1998.
10. Codex Alimentarius. Guidelines for evaluating methods of analysis. CX/MAS/02/4. 2002.
11. Fajgelj A, Ambrus A. Principles and practices of method validation. RSC;2000.
12. AOAC. Use of statistics to develop and evaluate analytical methods. 1985.
13. ISO 5725-2. Accuracy (trueness and precision) of measurement methods. 1994.
14. CONSLEG. Council Directive 96/23/EC. 2004.
15. FAO. Document on veterinary drug residue analysis. CX/RVDF/19/6. 2010.

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